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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

In summer 2022, P&G sealed a multiyear partnership with Microsoft to transform P&G’s digital manufacturing platform. It requires taking data from equipment sensors, applying advanced analytics to derive descriptive and predictive insights, and automating corrective actions. Smart manufacturing at scale.

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Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Business Over Broadway

IoT Artificial Intelligence. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. Juniper Research also forecasts that chat bots will save businesses about $8 billion annually by 2022.

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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination.

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What is Data Pipeline? A Detailed Explanation

Smart Data Collective

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

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Agent Swarms – an evolutionary leap in intelligent automation

CIO Business Intelligence

The Agent Swarm evolution has been propelled by advancements in computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). Shi , and “Swarm Robotics” (2022) by H. Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency.

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